AI Engineer
Tasks
- Apply prompt engineering and guardrails
- Build MCP servers and clients
- Build Python backends and APIs
- Collaborate with product teams
- Design and build agentic systems
- Design and maintain RAG pipelines
- Develop evals and observability
- Implement responsible AI practices
- Integrate model APIs
- Ship LLM powered applications
Perks/Benefits
- Contribution toward health benefits
- Generous exposure to latest AI tooling and models
- High visibility federal projects
- Small team
- Work from anywhere in the US
Skills/Tech-stack
AWS | Amazon Bedrock | Anthropic | Azure | Azure OpenAI | CI/CD | Docker | Embeddings | FastAPI | Flask | Function Calling | GCP | Git | JSON | Kubernetes | LLM APIs | Model Context Protocol | Ollama | OpenAI | PGVector | Pinecone | Prompt engineering | Python | Qdrant | RAG | SQL | SSE | Streaming | Structured outputs | Tool-Calling | VLLM | Vector Databases | Weaviate | WebSockets
Education
N/A
Roles
Regions
Countries
States
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